Smith James A, Lowry Michael B, Suthers Iain M
Evolution and Ecology Research Centre, and School of Biological, Earth and Environmental Sciences University of New South Wales Sydney NSW 2052 Australia ; Sydney Institute of Marine Science Chowder Bay Road Mosman NSW 2088 Australia.
Port Stephens Fisheries Institute Locked Bag 1 Nelson Bay NSW 2315 Australia.
Ecol Evol. 2015 Sep 30;5(20):4590-602. doi: 10.1002/ece3.1730. eCollection 2015 Oct.
The debate on whether artificial reefs produce new fish or simply attract existing fish biomass continues due to the difficulty in distinguishing these processes, and there remains considerable doubt as to whether artificial reefs are a harmful form of habitat modification. The harm typically associated with attraction is that fish will be easier to harvest due to the existing biomass aggregating at a newly deployed reef. This outcome of fish attraction has not progressed past an anecdotal form, however, and is always perceived as a harmful process. We present a numerical model that simulates the effect that a redistributed fish biomass, due to an artificial reef, has on fishing catch per unit effort (CPUE). This model can be used to identify the scenarios (in terms of reef, fish, and harvest characteristics) that pose the most risk of exploitation due to fish attraction. The properties of this model were compared to the long-standing predictions by Bohnsack (1989) on the factors that increase the risk or the harm of attraction. Simulations revealed that attraction is not always harmful because it does not always increase maximum fish density. Rather, attraction sometimes disperses existing fish biomass making them harder to catch. Some attraction can be ideal, with CPUE lowest when attraction leads to an equal distribution of biomass between natural and artificial reefs. Simulations also showed that the outcomes from attraction depend on the characteristics of the target fish species, such that transient or pelagic species are often at more risk of harmful attraction than resident species. Our findings generally agree with Bohnsack's predictions, although we recommend distinguishing "mobility" and "fidelity" when identifying species most at risk from attraction, as these traits had great influence on patterns of harvest of attracted fish biomass.
关于人工鱼礁是产生新的鱼类还是仅仅吸引现有的鱼类生物量的争论仍在继续,因为很难区分这些过程,而且对于人工鱼礁是否是一种有害的栖息地改造形式仍存在相当大的疑问。通常与吸引相关的危害是,由于现有生物量聚集在新部署的鱼礁处,鱼类将更容易被捕捞。然而,这种鱼类吸引的结果尚未超出轶事的范畴,并且总是被视为一个有害的过程。我们提出了一个数值模型,该模型模拟了由于人工鱼礁导致的鱼类生物量重新分布对单位努力捕捞量(CPUE)的影响。该模型可用于识别(根据鱼礁、鱼类和捕捞特征)因鱼类吸引而面临最大开发风险的情景。将该模型的特性与博恩萨克(1989年)关于增加吸引风险或危害的因素的长期预测进行了比较。模拟结果表明,吸引并不总是有害的,因为它并不总是增加最大鱼类密度。相反,吸引有时会分散现有的鱼类生物量,使它们更难被捕捞。有些吸引可能是理想的,当吸引导致自然鱼礁和人工鱼礁之间的生物量平均分布时,CPUE最低。模拟还表明,吸引的结果取决于目标鱼类物种的特征,因此洄游性或浮游性物种通常比定居性物种面临更大的有害吸引风险。我们的研究结果总体上与博恩萨克的预测一致,尽管我们建议在识别最易受吸引风险影响的物种时区分“流动性”和“忠诚度”,因为这些特征对被吸引鱼类生物量的捕捞模式有很大影响。